gimi9 Pandas Profiling

Dataset statistics

Number of variables	10
Number of observations	10000
Missing cells	12644
Missing cells (%)	12.6%
Duplicate rows	5
Duplicate rows (%)	0.1%
Total size in memory	927.7 KiB
Average record size in memory	95.0 B

Variable types

Numeric	7
Text	2
Categorical	1

Dataset

Description	한강권역 댐 관측 정보
Author	경기도
URL	https://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=9CIMWA0IL7PY7SOH455L24663256&infSeq=1

Alerts

Dataset has 5 (0.1%) duplicate rows	Duplicates
`현재수위값(단위:El.m)(El.m)` is highly overall correlated with `저수량(단위:만m^3)(만m³/s)`	High correlation
`유입량(단위:m^3/s)(㎥/s)` is highly overall correlated with `총방류량(단위:m^3/s)(㎥/s)`	High correlation
`저수량(단위:만m^3)(만m³/s)` is highly overall correlated with `현재수위값(단위:El.m)(El.m)` and 2 other fields	High correlation
`공용량(단위:백만m^3)(백만m³/s)` is highly overall correlated with `저수량(단위:만m^3)(만m³/s)`	High correlation
`총방류량(단위:m^3/s)(㎥/s)` is highly overall correlated with `유입량(단위:m^3/s)(㎥/s)` and 1 other fields	High correlation
`관할기관명` is highly imbalanced (56.8%)	Imbalance
`유입량(단위:m^3/s)(㎥/s)` has 3161 (31.6%) missing values	Missing
`저수량(단위:만m^3)(만m³/s)` has 3161 (31.6%) missing values	Missing
`공용량(단위:백만m^3)(백만m³/s)` has 3161 (31.6%) missing values	Missing
`총방류량(단위:m^3/s)(㎥/s)` has 3161 (31.6%) missing values	Missing
`현재수위값(단위:El.m)(El.m)` has 476 (4.8%) zeros	Zeros
`유입량(단위:m^3/s)(㎥/s)` has 1243 (12.4%) zeros	Zeros
`저수량(단위:만m^3)(만m³/s)` has 526 (5.3%) zeros	Zeros
`공용량(단위:백만m^3)(백만m³/s)` has 2103 (21.0%) zeros	Zeros
`총방류량(단위:m^3/s)(㎥/s)` has 1021 (10.2%) zeros	Zeros

Reproduction

Analysis started	2024-05-17 18:39:30.267264
Analysis finished	2024-05-17 18:39:50.066131
Duration	19.8 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

댐관측일자
Real number (ℝ)

Distinct	1905
Distinct (%)	19.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20194817

Minimum	20160101
Maximum	20240517
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	20160101
5-th percentile	20160402
Q1	20170416
median	20190419
Q3	20230501
95-th percentile	20240303
Maximum	20240517
Range	80416
Interquartile range (IQR)	60085

Descriptive statistics

Standard deviation	28622.127
Coefficient of variation (CV)	0.0014173007
Kurtosis	-1.387538
Mean	20194817
Median Absolute Deviation (MAD)	29207
Skewness	0.37277581
Sum	2.0194817 × 10¹¹
Variance	8.1922618 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20230111	29	0.3%
20230504	15	0.1%
20231027	14	0.1%
20190515	14	0.1%
20230812	14	0.1%
20240402	14	0.1%
20190719	13	0.1%
20231124	13	0.1%
20230224	13	0.1%
20200329	12	0.1%
Other values (1895)	9849	98.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20160101	4	< 0.1%
20160102	3	< 0.1%
20160103	10	0.1%
20160104	6	0.1%
20160105	5	0.1%
20160106	5	0.1%
20160107	10	0.1%
20160108	6	0.1%
20160109	8	0.1%
20160110	5	0.1%

Value	Count	Frequency (%)
20240517	6	0.1%
20240516	6	0.1%
20240515	5	0.1%
20240514	6	0.1%
20240513	12	0.1%
20240512	5	0.1%
20240511	4	< 0.1%
20240510	11	0.1%
20240509	5	0.1%
20240508	10	0.1%

댐관측소구분코드
Real number (ℝ)

Distinct	59
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2592100.9

Minimum	1001210
Maximum	5101110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	1001210
5-th percentile	1003611
Q1	2001611
median	2018611
Q3	3301611
95-th percentile	5003630
Maximum	5101110
Range	4099900
Interquartile range (IQR)	1300000

Descriptive statistics

Standard deviation	1343866.6
Coefficient of variation (CV)	0.51844689
Kurtosis	-0.6778689
Mean	2592100.9
Median Absolute Deviation (MAD)	990000
Skewness	0.71601205
Sum	2.5921009 × 10¹⁰
Variance	1.8059776 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2201231	273	2.7%
2021110	271	2.7%
2002610	267	2.7%
5101110	261	2.6%
2015110	258	2.6%
2002110	258	2.6%
2018110	255	2.5%
2403201	254	2.5%
2008110	251	2.5%
2503210	249	2.5%
Other values (49)	7403	74.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1001210	72	0.7%
1003110	244	2.4%
1003611	233	2.3%
1004310	84	0.8%
1006110	186	1.9%
1009710	239	2.4%
1010310	78	0.8%
1010320	82	0.8%
1012110	236	2.4%
1013310	76	0.8%

Value	Count	Frequency (%)
5101110	261	2.6%
5006621	86	0.9%
5003701	97	1.0%
5003630	104	1.0%
5003619	96	1.0%
5003410	131	1.3%
5002410	123	1.2%
5001701	108	1.1%
5001608	107	1.1%
5001604	86	0.9%

댐관측소명
Text

Distinct	59
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	7
Median length	3
Mean length	3.873
Min length	3

Characters and Unicode

Total characters	38730
Distinct characters	72
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	성덕댐
2nd row	영주댐
3rd row	소양강댐
4th row	담양3조절지
5th row	연초댐

Value	Count	Frequency (%)
대곡댐	273	2.7%
밀양댐	271	2.7%
임하댐조정지	267	2.7%
장흥댐	261	2.6%
임하댐	258	2.6%
합천댐	258	2.6%
남강댐	255	2.5%
감포댐	254	2.5%
군위댐	251	2.5%
연초댐	249	2.5%
Other values (49)	7403	74.0%

Most occurring characters

Value	Count	Frequency (%)
댐	8639	22.3%
지	2482	6.4%
조	1882	4.9%
천	1252	3.2%
양	1201	3.1%
정	1191	3.1%
주	1152	3.0%
수	969	2.5%
강	926	2.4%
대	901	2.3%
Other values (62)	18135	46.8%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	38244	98.7%
Decimal Number	486	1.3%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
댐	8639	22.6%
지	2482	6.5%
조	1882	4.9%
천	1252	3.3%
양	1201	3.1%
정	1191	3.1%
주	1152	3.0%
수	969	2.5%
강	926	2.4%
대	901	2.4%
Other values (59)	17649	46.1%

Decimal Number

Value	Count	Frequency (%)
1	203	41.8%
2	190	39.1%
3	93	19.1%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	38244	98.7%
Common	486	1.3%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
댐	8639	22.6%
지	2482	6.5%
조	1882	4.9%
천	1252	3.3%
양	1201	3.1%
정	1191	3.1%
주	1152	3.0%
수	969	2.5%
강	926	2.4%
대	901	2.4%
Other values (59)	17649	46.1%

Common

Value	Count	Frequency (%)
1	203	41.8%
2	190	39.1%
3	93	19.1%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	38244	98.7%
ASCII	486	1.3%

Most frequent character per block

Hangul

Value	Count	Frequency (%)
댐	8639	22.6%
지	2482	6.5%
조	1882	4.9%
천	1252	3.3%
양	1201	3.1%
정	1191	3.1%
주	1152	3.0%
수	969	2.5%
강	926	2.4%
대	901	2.4%
Other values (59)	17649	46.1%

ASCII

Value	Count	Frequency (%)
1	203	41.8%
2	190	39.1%
3	93	19.1%

댐관측소주소
Text

Distinct	51
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

Length

Max length	23
Median length	22
Mean length	14.7392
Min length	1

Characters and Unicode

Total characters	147392
Distinct characters	139
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	경북 청송군 안덕면 성재리
2nd row	경상북도 영주시 평은면
3rd row	강원도 춘천시 동면 월곡리
4th row
5th row	경상남도 거제시 연초면 덕치리

Value	Count	Frequency (%)
경상북도	2374	6.6%
경상남도	1270	3.5%
전라남도	1256	3.5%
안동시	979	2.7%
강원도	969	2.7%
전라북도	888	2.5%
충청북도	561	1.5%
천전리	540	1.5%
임하면	525	1.4%
합천군	495	1.4%
Other values (138)	26373	72.8%

Most occurring characters

Value	Count	Frequency (%)
	29770	20.2%
도	8393	5.7%
리	7000	4.7%
면	6893	4.7%
시	5290	3.6%
북	4689	3.2%
경	4595	3.1%
천	4545	3.1%
군	4363	3.0%
상	4223	2.9%
Other values (129)	67631	45.9%

Most occurring categories

Value	Count	Frequency (%)
Other Letter	112541	76.4%
Space Separator	29770	20.2%
Decimal Number	4527	3.1%
Dash Punctuation	554	0.4%

Most frequent character per category

Other Letter

Value	Count	Frequency (%)
도	8393	7.5%
리	7000	6.2%
면	6893	6.1%
시	5290	4.7%
북	4689	4.2%
경	4595	4.1%
천	4545	4.0%
군	4363	3.9%
상	4223	3.8%
동	3541	3.1%
Other values (118)	59009	52.4%

Decimal Number

Value	Count	Frequency (%)
6	887	19.6%
2	857	18.9%
4	798	17.6%
0	651	14.4%
1	462	10.2%
7	333	7.4%
3	320	7.1%
5	148	3.3%
8	71	1.6%

Space Separator

Value	Count	Frequency (%)
	29770	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	554	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Hangul	112541	76.4%
Common	34851	23.6%

Most frequent character per script

Hangul

Value	Count	Frequency (%)
도	8393	7.5%
리	7000	6.2%
면	6893	6.1%
시	5290	4.7%
북	4689	4.2%
경	4595	4.1%
천	4545	4.0%
군	4363	3.9%
상	4223	3.8%
동	3541	3.1%
Other values (118)	59009	52.4%

Common

Value	Count	Frequency (%)
	29770	85.4%
6	887	2.5%
2	857	2.5%
4	798	2.3%
0	651	1.9%
-	554	1.6%
1	462	1.3%
7	333	1.0%
3	320	0.9%
5	148	0.4%

Most occurring blocks

Value	Count	Frequency (%)
Hangul	112541	76.4%
ASCII	34851	23.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	29770	85.4%
6	887	2.5%
2	857	2.5%
4	798	2.3%
0	651	1.9%
-	554	1.6%
1	462	1.3%
7	333	1.0%
3	320	0.9%
5	148	0.4%

Hangul

Value	Count	Frequency (%)
도	8393	7.5%
리	7000	6.2%
면	6893	6.1%
시	5290	4.7%
북	4689	4.2%
경	4595	4.1%
천	4545	4.0%
군	4363	3.9%
상	4223	3.8%
동	3541	3.1%
Other values (118)	59009	52.4%

관할기관명
Categorical

IMBALANCE

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	156.2 KiB

한국수자원공사	8326
한국농어촌공사	1036
한국수력원자력	474
환경부	164

Length

Max length	7
Median length	7
Mean length	6.9344
Min length	3

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	한국수자원공사
2nd row	한국수자원공사
3rd row	한국수자원공사
4th row	한국수자원공사
5th row	한국수자원공사

Common Values

Value	Count	Frequency (%)
한국수자원공사	8326	83.3%
한국농어촌공사	1036	10.4%
한국수력원자력	474	4.7%
환경부	164	1.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
한국수자원공사	8326	83.3%
한국농어촌공사	1036	10.4%
한국수력원자력	474	4.7%
환경부	164	1.6%

현재수위값(단위:El.m)(El.m)
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	7218
Distinct (%)	72.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	115.41247

Minimum	0
Maximum	672.47
Zeros	476
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	1.40195
Q1	48.04
median	100.02
Q3	166.76
95-th percentile	251.046
Maximum	672.47
Range	672.47
Interquartile range (IQR)	118.72

Descriptive statistics

Standard deviation	89.556481
Coefficient of variation (CV)	0.77596884
Kurtosis	9.5786313
Mean	115.41247
Median Absolute Deviation (MAD)	53.47
Skewness	2.1856772
Sum	1154124.7
Variance	8020.3632
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	476	4.8%
46.63	70	0.7%
59.42	21	0.2%
46.12	20	0.2%
44.03	17	0.2%
60.08	16	0.2%
59.43	15	0.1%
46.11	13	0.1%
102.02	12	0.1%
44.04	11	0.1%
Other values (7208)	9329	93.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	476	4.8%
0.922	1	< 0.1%
1.012	1	< 0.1%
1.049	1	< 0.1%
1.141	1	< 0.1%
1.157	1	< 0.1%
1.159	1	< 0.1%
1.163	1	< 0.1%
1.193	1	< 0.1%
1.209	1	< 0.1%

Value	Count	Frequency (%)
672.47	1	< 0.1%
672.44	1	< 0.1%
672.42	1	< 0.1%
672.27	1	< 0.1%
672.24	1	< 0.1%
672.23	1	< 0.1%
672.21	1	< 0.1%
672.206	1	< 0.1%
672.18	2	< 0.1%
672.162	1	< 0.1%

유입량(단위:m^3/s)(㎥/s)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	2433
Distinct (%)	35.6%
Missing	3161
Missing (%)	31.6%
Infinite	0
Infinite (%)	0.0%
Mean	26.919689

Minimum	0
Maximum	1999.1
Zeros	1243
Zeros (%)	12.4%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.1
median	2.8
Q3	16.2
95-th percentile	96.3373
Maximum	1999.1
Range	1999.1
Interquartile range (IQR)	16.1

Descriptive statistics

Standard deviation	104.74712
Coefficient of variation (CV)	3.8910969
Kurtosis	103.30902
Mean	26.919689
Median Absolute Deviation (MAD)	2.8
Skewness	9.0920658
Sum	184103.75
Variance	10971.958
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1243	12.4%
0.1	208	2.1%
0.2	115	1.1%
0.3	97	1.0%
0.4	94	0.9%
0.5	74	0.7%
0.6	61	0.6%
0.7	50	0.5%
1.0	48	0.5%
0.9	43	0.4%
Other values (2423)	4806	48.1%
(Missing)	3161	31.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1243	12.4%
0.001	19	0.2%
0.002	23	0.2%
0.003	13	0.1%
0.004	5	0.1%
0.005	11	0.1%
0.006	2	< 0.1%
0.007	1	< 0.1%
0.009	1	< 0.1%
0.01	16	0.2%

Value	Count	Frequency (%)
1999.1	1	< 0.1%
1833.01	1	< 0.1%
1773.3	1	< 0.1%
1625.7	1	< 0.1%
1421.392	1	< 0.1%
1398.4	1	< 0.1%
1385.88	1	< 0.1%
1092.8	1	< 0.1%
1042.2	1	< 0.1%
1041.63	1	< 0.1%

저수량(단위:만m^3)(만m³/s)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	4556
Distinct (%)	66.6%
Missing	3161
Missing (%)	31.6%
Infinite	0
Infinite (%)	0.0%
Mean	192.60417

Minimum	0
Maximum	2178.13
Zeros	526
Zeros (%)	5.3%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.83
median	25.124
Q3	169.5145
95-th percentile	1098.606
Maximum	2178.13
Range	2178.13
Interquartile range (IQR)	166.6845

Descriptive statistics

Standard deviation	383.5876
Coefficient of variation (CV)	1.9915852
Kurtosis	8.0985943
Mean	192.60417
Median Absolute Deviation (MAD)	25.12
Skewness	2.8375339
Sum	1317219.9
Variance	147139.45
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	526	5.3%
0.003	109	1.1%
0.002	38	0.4%
0.004	38	0.4%
0.51	20	0.2%
0.5	12	0.1%
1.1	11	0.1%
1.11	11	0.1%
1.61	10	0.1%
79.75	10	0.1%
Other values (4546)	6054	60.5%
(Missing)	3161	31.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	526	5.3%
0.002	38	0.4%
0.003	109	1.1%
0.004	38	0.4%
0.005	10	0.1%
0.006	2	< 0.1%
0.007	1	< 0.1%
0.009	2	< 0.1%
0.01	5	0.1%
0.011	1	< 0.1%

Value	Count	Frequency (%)
2178.13	1	< 0.1%
2172.48	1	< 0.1%
2170.79	1	< 0.1%
2166.29	1	< 0.1%
2159.74	2	< 0.1%
2158.89	1	< 0.1%
2155.46	1	< 0.1%
2152.89	2	< 0.1%
2151.18	1	< 0.1%
2151.13	1	< 0.1%

공용량(단위:백만m^3)(백만m³/s)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	3408
Distinct (%)	49.8%
Missing	3161
Missing (%)	31.6%
Infinite	0
Infinite (%)	0.0%
Mean	190.39576

Minimum	0
Maximum	2867.99
Zeros	2103
Zeros (%)	21.0%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	14.46
Q3	149.22
95-th percentile	943.271
Maximum	2867.99
Range	2867.99
Interquartile range (IQR)	149.22

Descriptive statistics

Standard deviation	466.52222
Coefficient of variation (CV)	2.4502763
Kurtosis	18.82582
Mean	190.39576
Median Absolute Deviation (MAD)	14.46
Skewness	4.1025085
Sum	1302116.6
Variance	217642.98
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	2103	21.0%
5.09	16	0.2%
273.14	16	0.2%
273.15	15	0.1%
5.12	14	0.1%
0.84	13	0.1%
1.64	13	0.1%
5.2	13	0.1%
5.17	12	0.1%
5.06	11	0.1%
Other values (3398)	4613	46.1%
(Missing)	3161	31.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	2103	21.0%
0.08	1	< 0.1%
0.12	6	0.1%
0.14	1	< 0.1%
0.19	1	< 0.1%
0.25	10	0.1%
0.3	1	< 0.1%
0.31	2	< 0.1%
0.32	2	< 0.1%
0.33	2	< 0.1%

Value	Count	Frequency (%)
2867.99	2	< 0.1%
2867.88	1	< 0.1%
2867.86	3	< 0.1%
2867.85	1	< 0.1%
2867.82	1	< 0.1%
2867.8	1	< 0.1%
2867.79	1	< 0.1%
2867.77	2	< 0.1%
2867.76	2	< 0.1%
2867.75	1	< 0.1%

총방류량(단위:m^3/s)(㎥/s)
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	2384
Distinct (%)	34.9%
Missing	3161
Missing (%)	31.6%
Infinite	0
Infinite (%)	0.0%
Mean	21.985846

Minimum	0
Maximum	1687.8
Zeros	1021
Zeros (%)	10.2%
Negative	0
Negative (%)	0.0%
Memory size	166.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0.338
median	3.906
Q3	18.368
95-th percentile	90.81
Maximum	1687.8
Range	1687.8
Interquartile range (IQR)	18.03

Descriptive statistics

Standard deviation	65.637576
Coefficient of variation (CV)	2.9854469
Kurtosis	175.73217
Mean	21.985846
Median Absolute Deviation (MAD)	3.906
Skewness	10.829864
Sum	150361.2
Variance	4308.2913
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.0	1021	10.2%
0.2	156	1.6%
0.3	117	1.2%
0.1	115	1.1%
1.1	84	0.8%
0.4	80	0.8%
0.5	62	0.6%
1.5	55	0.5%
0.7	51	0.5%
1.8	48	0.5%
Other values (2374)	5050	50.5%
(Missing)	3161	31.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.0	1021	10.2%
0.001	19	0.2%
0.002	24	0.2%
0.003	13	0.1%
0.004	7	0.1%
0.005	9	0.1%
0.006	2	< 0.1%
0.009	1	< 0.1%
0.01	6	0.1%
0.011	1	< 0.1%

Value	Count	Frequency (%)
1687.8	1	< 0.1%
1385.02	1	< 0.1%
1327.5	1	< 0.1%
1078.3	1	< 0.1%
1028.1	1	< 0.1%
1010.2	1	< 0.1%
950.1	1	< 0.1%
948.7	1	< 0.1%
872.2	1	< 0.1%
819.4	1	< 0.1%

Phik (φk)
Auto

Heatmap
Table

	댐관측일자	댐관측소구분코드	댐관측소명	댐관측소주소	관할기관명	현재수위값(단위:El.m)(El.m)	유입량(단위:m^3/s)(㎥/s)	저수량(단위:만m^3)(만m³/s)	공용량(단위:백만m^3)(백만m³/s)	총방류량(단위:m^3/s)(㎥/s)
댐관측일자	1.000	0.206	0.490	0.476	0.425	0.134	0.077	0.180	0.205	0.045
댐관측소구분코드	0.206	1.000	1.000	0.999	0.584	0.548	0.198	0.501	0.401	0.139
댐관측소명	0.490	1.000	1.000	1.000	1.000	0.997	0.529	0.888	0.905	0.295
댐관측소주소	0.476	0.999	1.000	1.000	1.000	0.996	0.533	0.888	0.889	0.307
관할기관명	0.425	0.584	1.000	1.000	1.000	0.344	0.207	0.214	0.200	0.129
현재수위값(단위:El.m)(El.m)	0.134	0.548	0.997	0.996	0.344	1.000	0.058	0.454	0.373	0.041
유입량(단위:m^3/s)(㎥/s)	0.077	0.198	0.529	0.533	0.207	0.058	1.000	0.184	0.137	0.926
저수량(단위:만m^3)(만m³/s)	0.180	0.501	0.888	0.888	0.214	0.454	0.184	1.000	0.785	0.189
공용량(단위:백만m^3)(백만m³/s)	0.205	0.401	0.905	0.889	0.200	0.373	0.137	0.785	1.000	0.070
총방류량(단위:m^3/s)(㎥/s)	0.045	0.139	0.295	0.307	0.129	0.041	0.926	0.189	0.070	1.000

Heatmap
Table

	댐관측일자	댐관측소구분코드	현재수위값(단위:El.m)(El.m)	유입량(단위:m^3/s)(㎥/s)	저수량(단위:만m^3)(만m³/s)	공용량(단위:백만m^3)(백만m³/s)	총방류량(단위:m^3/s)(㎥/s)	관할기관명
댐관측일자	1.000	0.163	0.064	-0.077	-0.019	-0.413	-0.039	0.201
댐관측소구분코드	0.163	1.000	-0.358	-0.480	-0.270	-0.327	-0.494	0.441
현재수위값(단위:El.m)(El.m)	0.064	-0.358	1.000	0.037	0.510	0.340	0.113	0.243
유입량(단위:m^3/s)(㎥/s)	-0.077	-0.480	0.037	1.000	0.466	0.365	0.840	0.125
저수량(단위:만m^3)(만m³/s)	-0.019	-0.270	0.510	0.466	1.000	0.538	0.555	0.129
공용량(단위:백만m^3)(백만m³/s)	-0.413	-0.327	0.340	0.365	0.538	1.000	0.453	0.091
총방류량(단위:m^3/s)(㎥/s)	-0.039	-0.494	0.113	0.840	0.555	0.453	1.000	0.077
관할기관명	0.201	0.441	0.243	0.125	0.129	0.091	0.077	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	댐관측일자	댐관측소구분코드	댐관측소명	댐관측소주소	관할기관명	현재수위값(단위:El.m)(El.m)	유입량(단위:m^3/s)(㎥/s)	저수량(단위:만m^3)(만m³/s)	공용량(단위:백만m^3)(백만m³/s)	총방류량(단위:m^3/s)(㎥/s)
29619	20200107	2002111	성덕댐	경북 청송군 안덕면 성재리	한국수자원공사	357.57	1.093	18.638	0.0	0.7
3746	20240305	2004101	영주댐	경상북도 영주시 평은면	한국수자원공사	151.27	<NA>	<NA>	<NA>	<NA>
25280	20200414	1012110	소양강댐	강원도 춘천시 동면 월곡리	한국수자원공사	175.43	41.394	1526.974	0.0	31.275
27005	20200306	5001600	담양3조절지		한국수자원공사	46.63	0.002	0.002	0.0	0.002
68566	20160927	2503210	연초댐	경상남도 거제시 연초면 덕치리	한국수자원공사	47.91	0.1	4.4	1.03	0.2
48468	20180523	2018611	합천댐조정지	경상남도 합천군 용주면 내가리	한국수자원공사	55.04	4.9	0.84	5.22	5.3
209	20240513	2021210	운문댐	경상북도 청도군 운문면 대천리	한국수자원공사	148.44	<NA>	<NA>	<NA>	<NA>
66388	20161117	3203310	보령댐	충청남도 보령시 미산면 용수리	한국수자원공사	61.46	0.9	34.17	63.62	2.8
60796	20170327	2002110	임하댐	경상북도 안동시 임하면 임하리	한국수자원공사	150.05	2.7	285.69	328.71	12.4
13960	20230818	1302210	달방댐	산284	한국수자원공사	111.93	<NA>	<NA>	<NA>	<NA>

	댐관측일자	댐관측소구분코드	댐관측소명	댐관측소주소	관할기관명	현재수위값(단위:El.m)(El.m)	유입량(단위:m^3/s)(㎥/s)	저수량(단위:만m^3)(만m³/s)	공용량(단위:백만m^3)(백만m³/s)	총방류량(단위:m^3/s)(㎥/s)
51397	20180205	2201231	대곡댐	울산광역시 울주군 두동면 천전리	한국수자원공사	102.09	0.0	4.16	32.0	0.0
18003	20230601	2021210	운문댐	경상북도 청도군 운문면 대천리	한국수자원공사	137.07	<NA>	<NA>	<NA>	<NA>
20738	20230407	2503220	구천댐	경상북도 거제시 동부면 구천리	한국수자원공사	79.173	<NA>	<NA>	<NA>	<NA>
24789	20230111	1017310	팔당댐	경기도 남양주시 조안면 다산로 320	한국수력원자력	25.14	<NA>	<NA>	<NA>	<NA>
15997	20230710	5003410	나주댐	전라남도 나주시 다도면 판촌리 취수탑 도교	한국농어촌공사	57.788	<NA>	<NA>	<NA>	<NA>
22877	20230216	2503210	연초댐	경상남도 거제시 연초면 덕치리	한국수자원공사	45.329	<NA>	<NA>	<NA>	<NA>
17104	20230618	2002610	임하댐조정지	경상북도 안동시 임하면 천전리	한국수자원공사	102.14	<NA>	<NA>	<NA>	<NA>
27628	20200221	1022701	한탄강댐		한국수자원공사	47.25	5.248	0.499	0.0	5.086
15568	20230718	2503210	연초댐	경상남도 거제시 연초면 덕치리	한국수자원공사	48.553	<NA>	<NA>	<NA>	<NA>
53179	20171129	2010101	김천부항댐	경상북도 김천시 부항면 신옥리	한국수자원공사	181.73	0.4	22.07	34.34	0.4

Most frequently occurring

	댐관측일자	댐관측소구분코드	댐관측소명	댐관측소주소	관할기관명	현재수위값(단위:El.m)(El.m)	유입량(단위:m^3/s)(㎥/s)	저수량(단위:만m^3)(만m³/s)	공용량(단위:백만m^3)(백만m³/s)	총방류량(단위:m^3/s)(㎥/s)	# duplicates
0	20180817	2002111	성덕댐	경북 청송군 안덕면 성재리	한국수자원공사	356.97	0.03	17.97	10.18	0.93	2
1	20230111	1003110	충주댐	충청북도 충주시 종민동	한국수자원공사	134.65	<NA>	<NA>	<NA>	<NA>	2
2	20230111	2201231	대곡댐	울산광역시 울주군 두동면 천전리	한국수자원공사	106.07	<NA>	<NA>	<NA>	<NA>	2
3	20230111	2403201	감포댐	경상북도 경주시 감포읍 오류리	한국수자원공사	39.455	<NA>	<NA>	<NA>	<NA>	2
4	20230111	2503210	연초댐	경상남도 거제시 연초면 덕치리	한국수자원공사	45.663	<NA>	<NA>	<NA>	<NA>	2

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

Hangul

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Other Letter

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Hangul

Common

Most occurring blocks

Most frequent character per block

ASCII

Hangul

Common Values

Length

Common Values (Plot)

Interactions

Correlations

Missing values

Sample

Duplicate rows

Most frequently occurring